You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2022
|
| DOI | 10.3389/frai.2021.768650 |
| Pubmed ID | |
| Authors |
Matthew D. Stocker, Yakov A. Pachepsky, Robert L. Hill |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 4 | 14% |
| Other | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 14% |
| Environmental Science | 3 | 11% |
| Unspecified | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Computer Science | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 12 | 43% |